Your Waterstones card is changing, introducing...
TELL ME MORE
Feature Selection Via Joint Likelihood - Distinguished Dissertation (Paperback)
  • Feature Selection Via Joint Likelihood - Distinguished Dissertation (Paperback)
zoom

Feature Selection Via Joint Likelihood - Distinguished Dissertation (Paperback)

(author)
£75.00
Paperback 174 Pages / Published: 21/11/2013
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
The field of feature selection has many different competing algorithms, selection criteria and measure functions, with little theoretical justification for the choice of one measure over another. This thesis focuses on feature selection algorithms that use information theoretic criteria and provide a solid theoretical justification for their use. It also presents experimental results showing how the different factorisation assumptions affect classification performance.

Publisher: BCS Learning & Development Limited
ISBN: 9781780172491
Number of pages: 174
Weight: 431 g
Dimensions: 297 x 210 x 9 mm

You may also be interested in...

How to Pass Higher Computing Science
Added to basket
£11.99   £8.99
Paperback
Data Science from Scratch
Added to basket
Artificial Intelligence: The Basics
Added to basket
One World Trade Center
Added to basket
The Elements of Statistical Learning
Added to basket
UX Strategy
Added to basket
£27.99
Paperback
Introducing Artificial Intelligence
Added to basket
The Mythical Man-Month
Added to basket
Blockchain
Added to basket
£19.99
Paperback
Computer Science: An Overview, Global Edition
Added to basket
AQA A level Computer Science
Added to basket
The Singularity is Near
Added to basket
Emotion: A Very Short Introduction
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.